Retraction Note to: Computer-aided prediction of the Al2O3 nanoparticles’ effects on tensile strength and percentage of water absorption of concrete specimens
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-05576-1.pdf
Reference6 articles.
1. Nazari A, Riahi S (2012) Computer-aided prediction of the Al2O3 nanoparticles’ effects on tensile strength and percentage of water absorption of concrete specimens. Neural Comput Appl 21:1651–1667. https://doi.org/10.1007/s00521-011-0700-9
2. Nazari A, Azimzadegan T (2012) Prediction the effects of ZnO2 nanoparticles on splitting tensile strength and water absorption of high strength concrete. Mater Res 15(3):440–454. https://doi.org/10.1590/S1516-14392012005000057
3. Nazari A, Riahi S (2011) Computer-aided design of the effects of Fe2O3 nanoparticles on split tensile strength and water permeability of high strength concrete. Mater Des 32(7):3966–3979. https://doi.org/10.1016/j.matdes.2011.01.064
4. Nazari A, Riahi S (2011) Computer-aided design of the effects of Cr2O3 nanoparticles on split tensile strength and water permeability of high strength concrete. Sci China Technol Sci 54:663–675. https://doi.org/10.1007/s11431-010-4266-z
5. Nazari A, Riahi S (2011) Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming. Compos B Eng 42(3):473–488. https://doi.org/10.1016/j.compositesb.2010.12.004
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